Evidence map›Paper›PMID 39403513›Full record

ArticleHeliyon2024

Beyond the hype: A TAM-based analysis of blockchain adoption drivers in construction industry.

Waeal J Obidallah, Waleed Rashideh, Ahmed Mohammed Kamaruddeen, Taher Alzahrani, Yousef Alduraywish, Abdulaziz Alsahli, Nuha Alshuqayran

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Waeal J ObidallahCollege of Computer and Information Sciences, Imam Muhammad Ibn Saud Islamic University (IMSIU), Riyadh, 11673, Saudi Arabia.
Waleed RashidehCollege of Computer and Information Sciences, Imam Muhammad Ibn Saud Islamic University (IMSIU), Riyadh, 11673, Saudi Arabia.
Ahmed Mohammed KamaruddeenFaculty of Engineering and Technology, Department of Civil Engineering, University of Botswana, Gaborone, Botswana.
Taher AlzahraniCollege of Computer and Information Sciences, Imam Muhammad Ibn Saud Islamic University (IMSIU), Riyadh, 11673, Saudi Arabia.
Yousef AlduraywishCollege of Computer and Information Sciences, Imam Muhammad Ibn Saud Islamic University (IMSIU), Riyadh, 11673, Saudi Arabia.
Abdulaziz AlsahliCollege of Computer and Information Sciences, Imam Muhammad Ibn Saud Islamic University (IMSIU), Riyadh, 11673, Saudi Arabia.
Nuha AlshuqayranCollege of Computer and Information Sciences, Imam Muhammad Ibn Saud Islamic University (IMSIU), Riyadh, 11673, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In complementing our existing knowledge of blockchain technology adoption in the construction industry, this research investigated how the Technology Acceptance Model (TAM) applies to adopting blockchain technology among Saudi Arabian Construction companies. This study utilized cross-sectional data collection, causal research design, a quantitative research approach, and a simple random sampling technique to collect data from 248 Saudi Arabian construction companies. Partial least squares structural equation modelling (PLS-SEM) was utilized to analyze the data. The results showed that attitude toward adopting Blockchain (ATT) and perceived ease of use (PEU) are good predictors of behavioural intention to adopt Blockchain. The findings showed that when construction companies perceive the ease of use of Blockchain, they intend to adopt the technology. Attitude toward adopting Blockchain, directly and indirectly, influences behavioural intention to adopt the Technology. However, top management support only directly leads to intention once the companies perceive the usefulness of blockchain technology. This paper complements the existing literature on adopting Blockchain in the Saudi Arabian construction industry. The study provides insight into the influence of top management support, attitude toward adoption, and perceived ease of use in the blockchain adoption process.

Indexed as

BlockchainConstruction industryPLS-SEMSaudi ArabiaSmart contractsTechnology acceptance model

Identifiers

PMID39403513
PMCPMC11471537

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.